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The Review of Financial Studies, 2023 <div> How does the increased use of data technologies, like machine learning, by financial intermediaries affect the allocation of capital towards innovation? I study this question in the context of startup financing by venture capitalists (VCs).
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Data-Driven Nonsmooth Optimization [PDF]
SIAM Journal on Optimization, 2020 In this work, we consider methods for solving large-scale optimization problems with a possibly nonsmooth objective function. The key idea is to first parametrize a class of optimization methods using a generic iterative scheme involving only linear operations and applications of proximal operators.
Sebastian Banert +4 more
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Data analytics: building a data driven culture
, 2020 One of the main obstacles to instituting evidence-based practice can lie in implementing data findings. Hence, even with a critical appreciation of data, HR and global mobility professionals face communications and cultural challenges.
Shortland, S.
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On data-driven Saak transform [PDF]
Journal of Visual Communication and Image Representation, 2018 Being motivated by the multilayer RECOS (REctified-COrrelations on a Sphere) transform, we develop a data-driven Saak (Subspace approximation with augmented kernels) transform in this work. The Saak transform consists of three steps: 1) building the optimal linear subspace approximation with orthonormal bases using the second-order statistics of input ...
C.-C. Jay Kuo, Yueru Chen
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Data of paper: Multicolor X-rays from free electron-driven van der Waals heterostructures
, 2023 Data of paper: Multicolor X-rays from free electron-driven van der Waals ...
Duan, Ruihuan +6 more
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The EMBO Reports, 2012 Omics technologies and the large data sets they produce do not undermine hypothesis-driven research. Rather, they help scientists formulate better and more relevant hypotheses to be put to the test.
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Data-driven robust optimization [PDF]
Mathematical Programming, 2017 38 pages, 15 page appendix, 7 figures.
Dimitris Bertsimas +2 more
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Data-Driven Control-oriented Modelling of Submerged Arc Furnaces [PDF]
, 2023 openThe present thesis focuses on the integration of chemophysical knowledge and data-driven insights to develop control-oriented models for submerged arc furnaces (SAF).
FORNASIER, PIERANGELO
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Data-driven trajectory smoothing [PDF]
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2011 Motivated by the increasing availability of large collections of noisy GPS traces, we present a new data-driven framework for smoothing trajectory data. The framework, which can be viewed of as a generalization of the classical moving average technique, naturally leads to efficient algorithms for various smoothing objectives.
Chazal, Frédéric +4 more
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Data-Driven Predictive Maintenance
IEEE Intelligent Systems, 2022 With the growth of 5G networks, the Internet-of-Things is becoming a reality. The advances in networking, machine learning, data analytics, and robotics largely improve industrial processes. Industry 4.0 is a term for the fourth industrial revolution: the digitization and automation of manufacturing [1].
João Gama 0001 +2 more
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